How to obtain cross validation results while developing model by using plsregress?

I am using the following code to develop a 10-fold cross-validated (CV) partial least squares regression model.

[XL,yl,XS,YS,beta,PCTVAR,stat, MSE] = plsregress(x,y,3,'CV',10);

By default, Matlab gives only the final estimated parameters. I want to see the parameter distribution and fitting efficiency while doing the cross-validation. Without writing the CV code manually, how can I see these results?

Thanks

[ardeshir moinian]

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